Triple

T8738290
Position Surface form Disambiguated ID Type / Status
Subject John Gardner (British writer) E207438 entity
Predicate notableWork P4 FINISHED
Object The Liquidator E484224 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: The Liquidator | Statement: [John Gardner (British writer), notableWork, The Liquidator]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Liquidator
Context triple: [John Gardner (British writer), notableWork, The Liquidator]
  • A. The Liquidator chosen
    "The Liquidator" is a 1965 British spy comedy film, based on John Gardner’s novel, that parodies the James Bond genre and stars Rod Taylor as an inept assassin.
  • B. The Demolitionist
    The Demolitionist is a 1995 low-budget sci-fi action-horror film about a murdered female cop resurrected as a cybernetic vigilante, directed by special effects artist Robert Kurtzman.
  • C. Last to Die
    Last to Die is a Magic: The Gathering card, likely a creature or spell, associated with the Magic game universe.
  • D. Last to Die
    "Last to Die" is a crime thriller novel by Tess Gerritsen featuring medical examiner Maura Isles and detective Jane Rizzoli as they investigate a series of murders linked to a group of traumatized orphans.
  • E. Doomwatch
    Doomwatch is a British science fiction television series from the early 1970s that follows a government team investigating the dangers of advanced technology and environmental threats.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca835a03a081909d4d4cd01a18c9fb completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d470c8c81909ead395ef704c6ba completed March 31, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42c9140081909f9c10560757c860 completed April 3, 2026, 4:32 a.m.
Created at: March 30, 2026, 6:38 p.m.